1 9/8/2015 INSTITUTE OF INFORMATION AND COMMUNICATION TECHNOLOGIES BULGARIAN ACADEMY OF SCIENCE .

1http://www.iict.bas.bg/acomin04/19/23

INSTITUTE OF INFORMATION AND COMMUNICATION TECHNOLOGIESBULGARIAN ACADEMY OF SCIENCE

http://www.iict.bas.bg/IS/en/index.html

Assoc. Prof. PhD Lyubka Doukovska

Intelligent Systems Department

AComIn: Advanced Computing for Innovation

04/19/23 2http://www.iict.bas.bg

DIAGNOSTIC AND RISK ASSESSMENT

PREDICTIVE ASSET MAINTENANCE

The DVU-10-0267/10 is a project of the Institute of Information and Communication

Technologies, Bulgarian Academy of Sciences



• The goal of the project is a holistic research of the theoretical foundations, alternative algorithms, software and techniques for predictive asset maintenance. This includes prognosis diagnostics, risk assessment, decision making for preventive or corrective actions and generating a schedule for their execution.



• The subject of analysis is a device from Maritsa East 2 thermal power plant - a mill fan. The choice of the given power plant is not occasional. This is the largest thermal power plant on the Balkan Peninsula.


04/19/23 5http://www.iict.bas.bgAComIn: Advanced Computing for Innovation


• Mill fans are main part of the fuel preparation in the coal fired power plants. The mill fans are used to mill, dry and feed the coal to the burners of the furnace chamber. They are together milling and transporting devices. Mill fans are most often used for power plants burning brown and lignite coal.



Mill Fan

1 — rotor; 2 — body; 3 — separator; 4 — internal circulation duct; 5 — maintenance and control flap; 6 — duct for bigger fraction recirculation; 7 — dust quality control flap.


The boiler which milling system is studied is a Benson type once-though sub-critical boiler.

There are four mills per boiler.

Each mill fan system has four radial bearings – two in the mill and two in the motor.

Boiler Ep-690-15,4-540 LT


• The Maritsa East 2 thermal power plant has four double blocks with direct-current boilers 175 MW each and four monoblocks with drum boilers 210 MW each.

• The fuel for both types of blocks is one and the same, low-quality Bulgarian lignite coal from the “Trayanovo 1” and “Trayanovo 2” mines.



Maritsa East 2 Unit 1 Control Room


• Standard statistical and probabilistic (Bayesian) approaches for diagnostics are inapplicable to estimate mill fan vibration state due to non-stationarity, non-ergodicity and the significant noise level of the monitored vibrations.


List of papers

• Koprinkova-Hristova P., M. Hadjiski, L. Doukovska, S. Beloreshki - Recurrent Neural Networks for Predictive Maintenance of Mill Fan Systems, International Journal of Electronics and Telecommunications (JET), Versita, Warsaw, Poland, vol. 57, №3, ISSN 0867-6747, pp. 401-406, 2011.

• Balabanov T., Koprinkova-Hristova P., L. Doukovska, M. Hadjiski, S. Beloreshki - Neural Network Model of Mill-Fan System Elements Vibration for Predictive Maintenance, Proc. of the International Symposium on Innovations in Intelligent SysTems and Applications, INISTA’11, 15-18 June 2011, Istanbul, Turkey, ISBN: 978-1-61284-920-1, pp. 410-414, 2011.



List of papers

• Doukovska L., P. Koprinkova-Hristova, S. Beloreshki - Analysis of Mill Fan System for Predictive Maintenance, Proc. of the International Conference Automatics and Informatics, 3-7 October 2011, Sofia, Bulgaria, ISSN 1313-1869, pp. 331-335, 2011.

• Hadjiski M., L. Doukovska, St. Kojnov - Nonlinear Trend Analysis of Mill Fan System Vibrations for Predictive Maintenance and Diagnostics, International Journal of Electronics and Telecommunications (JET), Versita, Warsaw, Poland, ISSN 0867-6747, vol. 58, 4, pp. 351-356, DOI: 10.2478/v10177-012-0048-9, 2012.



List of papers

• Hadjiski M., L. Doukovska, P. Koprinkova-Hristova - Intelligent Diagnostic on Mill Fan System, Proc. of the 6th IEEE International Conference on Intelligent Systems – IS’12, 6-8 September 2012, Sofia, Bulgaria, ISBN 978-1-4673-2782-4, pp. 341-346, 2012.

• Nikov V., P. Koprinkova-Hristova, L. Doukovska - Fuzzy Methods for Mill Fan Systems Technical Diagnostics, Proc. of the Federated Conference on Computer Science and Information Systems - FedCSIS’12, 9-12 September 2012, Wroclaw, Poland, ISBN 978-83-60810-51-4, CD, pp. 139-143, 2012.



List of papers

• Hadjiski M., L. Doukovska - Technical Diagnostics of Mill Fan System, Comptes rendus de l’Academie bulgare des Sciences, ISSN 1310-1331, vol. 65, 12, pp. 1731-1738, 2012.

• Hadjiski M., L. Doukovska - CBR approach for Technical Diagnostics of Mill Fan System, Comptes rendus de l’Academie bulgare des Sciences, ISSN 1310-1331, vol. 66, 1, pp. 93-100, 2013.



List of papers

• Koprinkova-Hristova P., L. Doukovska, P. Kostov - Working Regimes Classification for Predictive Maintenance of Mill Fan Systems, Proc. of the International Symposium on INnovations in Intelligent SysTems and Applications – INISTA’13, CD, ISBN 978-1-4799-0661-1-13-2013 IEEE, 2013.

• Doukovska L., S. Vassileva - Knowledge-based Mill Fan System Technical Condition Prognosis, Journal of the World Scientific and Engineering Academy and Society – WSEAS Transactions on Systems, Special Issue on Knowledge-based Modeling and Control of Мulti-factorial Processes, Print ISSN 1109-2777, E-ISSN 2224-2678, 2013 (accepted to review).



List of papers

• Hadjiski M., L. Doukovska, S. Vassileva - Intelligent Diagnostics of Mill Fan Technical Condition in Dust-Preparing Systems for 210 MW Power Units, International Journal of Computing and Informatics, Bratislava, Slovakia, ISSN 1335-9150, 2013, (to be published).

• Doukovska L., S. Vassileva - Intelligent Methods for Process Control and Diagnostics of Mill Fan System, Cybernetics and Information Technologies (CIT), ISSN 1311-9702, 2013, (to be published).



• In the papers are presented promising results only using computational intelligence methods.

• Adequate for the case methods of computational intelligence (fuzzy logic, neural networks and more general AI techniques – the precedents’ method (CBR), machine learning (ML)) must be used.


Conclusion

1 9/8/2015 INSTITUTE OF INFORMATION AND COMMUNICATION TECHNOLOGIES BULGARIAN ACADEMY OF SCIENCE .

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